Metric Optimization

Metric Optimization is a methodological contribution in the field of evaluation science that systematically enhances the design or selection of performance metrics to better align with specific research objectives, thereby improving the validity, reliability, or sensitivity of measurement in empirical assessment.

204

Publications

16.4K

Citations

569

Authors

293

Institutions

Publications per year

2017–2026

66

Authors

569

  1. SS
    Shmuel S. Oren

    University of California, Berkeley, United States

    6 publications · 647 citations

    6

    h-index

  2. LL
    Ladislav Lukšan

    Czech Academy of Sciences, Institute of Computer Science, Czechia

    4 publications · 130 citations

    4

    h-index

  3. YS
    Yonggang Shi

    University of Southern California, United States

    4 publications · 96 citations

    4

    h-index

  4. SS
    Suvrit Sra

    Massachusetts Institute of Technology, United States

    3 publications · 86 citations

    3

    h-index

  5. AW
    Arthur W. Toga

    University of California, Los Angeles, United States

    3 publications · 79 citations

    3

    h-index

1–5 of 569

Venues

  1. Mathematical Programming

    5 publications · 415 citations

    5

    h-index

  2. arXiv (Cornell University)

    Repository · 5 publications · 361 citations

    5

    h-index

  3. 4

    h-index

  4. IEEE Signal Processing Letters

    3 publications · 81 citations

    3

    h-index

  5. 3

    h-index

1–5